Training in progress epoch 1

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1100
+- Train Loss: 0.1101
 - Validation Loss: 0.2607
 - Train Precision: 0.5710
 - Train Recall: 0.4378
 - Train F1: 0.4956
 - Train Accuracy: 0.9469
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1100     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 0     |
+| 0.1101     | 0.2607          | 0.5710          | 0.4378       | 0.4956   | 0.9469         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:1351e59041e7ec3c66f13e454e61dd7acd489f615eee884a19311ea72a5e6b84
 size 265618704